Tools for Voice Analysis, Speaker Recognition and Mood Inference


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Documentation for package ‘voice’ version 0.4.14

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audio_time Returns the total time of audio files in seconds
conv Convolute vectors.
conv_df Convolute data frames using multicore.
conv_mc Convolute vectors using multicore.
duration Gives the duration of sequences.
enrich_rttm Enrich RTTM files
expand_model Expand model given 'y' and 'x' variables.
extract_features Extracts features from WAV audio files
extract_features_py Extract features from WAV audios using 'Python's' 'Parselmouth' library.
feat_summary Returns summary measures of 'voice::extract_features'
get_bit Get bit rate
get_dur Time duration
get_left Get left channel
get_right Get right channel
get_samp.rate Get sample rate
get_tbeg Time beginning
get_tdur Time duration
id_path Sample IDs and paths
is_mono Verify if an audio is mono.
notes Returns a vector of notes for equal-tempered scale, A4 = 440 Hz.
notes_freq Returns a tibble of frequencies on Scientific Pitch Notation (SPN) for equal-tempered scale, A4 = 440 Hz.
poetry Poetry. The best words in their best order.
read_rttm Read RTTM files
rm0 Transforms 'n' sets of 'm>n' zeros (alternated with sets of non zeros) into 'n' sets of 'n' zeros.
smooth_df Smooth numeric variables in a data frame.
splitw Split Wave
tag Tag a data frame with media information.
write_list Writes a list to a path.